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Khaleel Asyraaf Mat Sanusi; Deniz Iren; Nardie Fanchamps; Mai Geisen; Roland Klemke – Educational Technology Research and Development, 2025
Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…
Descriptors: Psychomotor Skills, Skill Development, Computer Simulation, Electronic Learning
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
Gülçin Zeybek – International Journal on Social and Education Sciences, 2025
The research model, which aims to determine the correlation between the level of teacher candidates taking teacher educators as role models in technology use and the level of technology acceptance and use and to what extent teacher candidates taking teacher educators as role models in technology use predicts technology acceptance and use, is a…
Descriptors: Foreign Countries, Technology Uses in Education, Preservice Teachers, Teacher Educators
Kevser Hava; Özgür Babayigit – Education and Information Technologies, 2025
In recent years, there has been a growing emphasis on integrating Artificial Intelligence (AI) applications in educational settings. As a result, it is essential to assess teachers' competencies in Technological, Pedagogical, and Content Knowledge (TPACK) as it pertains to AI and examine the factors that influence these competencies. This study…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Artificial Intelligence, Technology Integration
Ching-Huei Chen; Victor Law – Educational Technology Research and Development, 2025
This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…
Descriptors: Help Seeking, Game Based Learning, Artificial Intelligence, Computer Software
Andrea López; Alejandra Meneses; Maximiliano Montenegro – Journal of Science Education and Technology, 2025
This study examines how pre-service science teachers integrate technology into the design of learning activities, paying particular attention to types of technology integration, cognitive demand, scientific research skills, and TPACK. A mixed methods approach was used to analyze 49 learning activities designed by pre-service physics, chemistry,…
Descriptors: Preservice Teachers, Technology Integration, Science Education, Learning Activities
Alex Adams; Don Belcher – Physical Educator, 2025
Technology in education strives to parallel the high-tech world we live in. When students' learning environment reflects the ways in which they engage the world, they will excel in their education (Christen, 2009). Physical education teachers (PETs) have reported many barriers to using and integrating educational technology (e.g., Hill &…
Descriptors: Physical Education Teachers, Self Efficacy, Technology Integration, Technology Uses in Education
Abdellateef Abdelhafez Alqawasmi; Najeh Rajeh Alsalhi; Mohd. Elmagzoub Eltahir; Bushra Ahmad Alakashee; Sami Al-Qatawneh; Ali Ahmad Al-Barakat; Samih Mahmoud Al Karasneh – Educational Process: International Journal, 2025
Background/purpose: As artificial intelligence (AI) continues to reshape educational landscapes, understanding faculty awareness and readiness is crucial for effective AI integration in higher education. This study examines AI awareness among faculty members at a university in the United Arab Emirates (UAE) and its relationship with digital…
Descriptors: Foreign Countries, Artificial Intelligence, College Faculty, Knowledge Level
Yishi Jiang; Xiaofei Lu; Fengkai Liu; Jianxin Zhang; Tan Jin – Applied Linguistics, 2024
An emerging body of corpus-based genre analysis studies has examined the connection between different types of formulaic language and rhetorical moves in various genres of academic writing. The current study extends this body of research into the understudied genre of narrative stories and the understudied phraseological unit of lexical…
Descriptors: Personal Narratives, Rhetorical Invention, Discourse Communities, Academic Language
Galip Bedir; Ibrahim Benek; Eda Yuca; Ismail Donmez – Journal of Education in Science, Environment and Health, 2025
Artificial Intelligence (AI) emerges as the development of computer systems and software that imitate human abilities and perform human-like tasks. Understanding what gifted students think about this system that includes deep cognitive abilities is considered important. Based on this premise, this study examines the perceptions of gifted students…
Descriptors: Gifted, Student Attitudes, Freehand Drawing, Artificial Intelligence
Olena Bolgova; Paul Ganguly; Volodymyr Mavrych – Anatomical Sciences Education, 2025
Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…
Descriptors: Comparative Analysis, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – International Journal of STEM Education, 2025
Background: Technology-enhanced classrooms now integrate a range of educational apps designed to improve student outcomes. The effectiveness of these applications is influenced by multiple factors related to the courses and the applications themselves. A critical factor is student engagement, which involves interacting with the course content…
Descriptors: Natural Language Processing, Handheld Devices, Computer Oriented Programs, Learner Engagement
Wang, Qiong; Zhao, Guoqing – British Journal of Educational Technology, 2023
Technostress is an undesired consequence of information and communication technology (ICT) use and might negatively affect teachers. However, there is a lack of empirical research exploring the influences of technostress creators on teachers' ICT use. This study aims to bridge this gap by exploring the structural relationship among five…
Descriptors: Stress Variables, Educational Technology, Technology Integration, Teacher Attitudes
Guillén-Gámez, Francisco D.; Ruiz-Palmero, Julio; García, Melchor Gómez – Education and Information Technologies, 2023
All spheres of our life are being affected using technology, particularly its integration in the research processes carried out by teachers. The success of the integration of specific digital resources in research work can be affected by several factors, such as: digital skills for finding information, managing it, analyzing it, and communicating…
Descriptors: Technological Literacy, Teacher Competencies, Teacher Researchers, Educational Technology

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